Numerical investigation of natural gas (NG) as low reactivity fuel in a reactivity controlled compression ignition (RCCI) engine model

Fırat, Müjdat; Okcu, Mutlu; Altun, Şehmus; Varol, Yasin

doi:10.1016/j.fuel.2023.127949

Cited by 7 publications

(5 citation statements)

References 37 publications

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“…As shown in Figure , the torque, NGSR, DIP, and DIT had the same effects on the CA50, BSFC, BTE, CO, CO 2 , THC, NO x , and soot at different speeds. − For determining the combustion characteristics of the engine, the DIT is an important factor. However, for the fuel economy, the NGSR and DIP are relatively unimportant, and for the emission characteristics, the DIT exerts a small impact …”

Section: Gpr-fnn Modelmentioning

confidence: 99%

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Prediction and Verification of Performance and Emission Characteristics of Diesel/Natural Gas Dual-Fuel Engine Based on Intelligent Algorithm

Wan

Huang

et al. 2023

ACS Omega

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With the development of computer application technologies, intelligent algorithm has been widely used in various fields. In this study, a coupled Gaussian process regression and feedback neural network (GPR-FNN) algorithm is proposed, and it is used to predict the performance and emission characteristics of a six-cylinder heavy-duty diesel/natural gas (NG) dual-fuel engine. Using the engine speed, torque, NG substitution rate, diesel injection pressure, and injection timing as inputs, an GPR-FNN model is established to predict the crank angle corresponding to 50% heat release, brake-specific fuel consumption, brake thermal efficiency, and carbon monoxide, carbon dioxide, total unburned hydrocarbon, nitrogen oxides, and soot emissions. Subsequently, its performance is evaluated using experimental results. The results show that the regression correlation coefficients of all output parameters are greater than 0.99, and the mean absolute percentage error is less than 5.9%. In addition, a contour plot is used to compare the experimental results with the GPR-FNN prediction data in detail, and the results show that the prediction model has high accuracy. The results of this study can provide new ideas for the research on diesel/natural gas dual-fuel engines.

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Section: Gpr-fnn Modelmentioning

confidence: 99%

“…However, for the fuel economy, the NGSR and DIP are relatively unimportant, and for the emission characteristics, the DIT exerts a small impact. 46 3.2. GPR-FNN Model Structure.…”

Section: Selection Of Input and Outputmentioning

confidence: 99%

Prediction and Verification of Performance and Emission Characteristics of Diesel/Natural Gas Dual-Fuel Engine Based on Intelligent Algorithm

Wan

Huang

et al. 2023

ACS Omega

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“…Results revealed that CO emissions tended to decrease when natural gas premixing was increased, while NOx and HC emissions were found to rise. With the RCCI technique, CO emissions decreased by up to 29% in comparison to conventional diesel combustion . Experimental studies on the RCCI engine were performed in another investigation.…”

Section: Introductionmentioning

confidence: 99%

“…With the RCCI technique, CO emissions decreased by up to 29% in comparison to conventional diesel combustion. 7 Experimental studies on the RCCI engine were performed in another investigation. According to the testing findings, the engine’s brake thermal efficiency (BTE) greatly increased, and the HC, CO, and smoke emissions decreased, while NOx emissions slightly increased.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Decision-Making Technique for Choosing the Optimal Ammonia Energy Share in an Ammonia–Biodiesel-Fueled Reactivity-Controlled Compression Ignition Engine

Ramachandran,

Krishnaiah,

Vellore Gangadharan

et al. 2024

ACS Omega

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Low-temperature combustion paired with the use of carbon-free ammonia and carbon-neutral biofuels is a novel approach for improving performance, reducing greenhouse gases, and reducing regulated emissions. Reactivity-controlled compression ignition (RCCI), a low-temperature combustion technology, dramatically reduces NOx and smoke emissions compared to traditional engines. Ammonia can be projected as a good transit fuel in the journey toward achieving net zero emissions and cleaner energy. This study examines the impact of ammonia energy premixing fraction (AEPF) (20, 30, 40, and 50%) as a lowreactive fuel (LRF) and algal biodiesel as a high-reactive fuel on the performance and emission characteristics of a single-cylinder, water-cooled 3.5 kW CI engine at a constant speed of 1500 rpm under various loading conditions. The research results indicate that the 40% ammonia share RCCI mode exhibited a reduction in carbon dioxide (CO 2 ) by 14.16%, nitrogen oxide (NOx) by 22.6%, and smoke by 42.1%, with an 11.5% improvement in thermal efficiency compared to the neat biodiesel-fueled conventional engine. Furthermore, the analytical hierarchy process (AHP) will be used in conjunction with the technique for order of preference by similarity to ideal solution (TOPSIS) of multiple criteria decision-making techniques to determine the optimal energy share in the RCCI combustion with the goal of achieving superior thermal efficiency and lower emissions. According to the AHP-TOPSIS study findings, AEPF40 is the best choice for all engine loads.

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“…It becomes possible to achieve the controllability of combustion, and objectives such as saving fuel and reducing emissions are realized when intervening in the injection timing [5]. In order to achieve better thermal efficiency values, RCCI and other LTC strategies can be developed by optimizing, through improvement studies, parameters such as the injection timing, exhaust gas temperature, amount of fuel injected into the intake port or into the cylinder and intake air temperature (IAT) [33][34][35][36]. It has been stated that more efficient RCCI combustion can be achieved with the recently revealed reverse reactivity stratifying (R-RCCI) mode.…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study of Operating Range, Combustion and Emission Characteristics in an RCCI Engine Fueled with Iso-Propanol/n-Heptane

Halis

2023

Sustainability

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Recently, studies have been carried out using environmentally sustainable technologies with more efficient energy conversion to fulfill emission requirements. One of these technologies, reactivity controlled compression ignition (RCCI), is a low-temperature combustion mode and has a dual fuel strategy. The controllability of combustion, high thermal efficiency and low nitrogen oxide (NOx) and soot emissions are some of the most prominent advantages of this combustion mode. In this study, the effects of the premixed ratio (PR) and intake air temperature (IAT) on the operating range, combustion characteristics and emissions were investigated experimentally. In the experiments, iso-propanol and n-heptane were used as fuels. The experiments were carried out for two different case studies. In the first case, the experiments were performed at a 50 °C intake air temperature and three different premix ratios (PR25, PR50, PR75). The minimum brake-specific fuel consumption (BSFC) was 268 g/kWh and the widest operating range was obtained with PR25. In addition, the lowest emission values in NOx, hydrocarbon (HC) and carbon monoxide (CO) emission formation were recorded with the use of PR25 fuel. In the other case, experiments were conducted at three different intake air temperatures (30 °C, 50 °C, 70 °C) with PR50. The minimum BSFC was measured as 268 g/kWh and the widest operating range was observed at a 70 °C intake air temperature. At the same time, the lowest NOx emission values were obtained at a 30 °C intake air temperature. The maximum HC emission was determined as 586 ppm at a 30 °C intake air temperature. In addition, the minimum CO emission was measured as 0.142% by volume at a 70 °C intake air temperature.

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Numerical investigation of natural gas (NG) as low reactivity fuel in a reactivity controlled compression ignition (RCCI) engine model

Cited by 7 publications

References 37 publications

Prediction and Verification of Performance and Emission Characteristics of Diesel/Natural Gas Dual-Fuel Engine Based on Intelligent Algorithm

Prediction and Verification of Performance and Emission Characteristics of Diesel/Natural Gas Dual-Fuel Engine Based on Intelligent Algorithm

Multicriteria Decision-Making Technique for Choosing the Optimal Ammonia Energy Share in an Ammonia–Biodiesel-Fueled Reactivity-Controlled Compression Ignition Engine

An Experimental Study of Operating Range, Combustion and Emission Characteristics in an RCCI Engine Fueled with Iso-Propanol/n-Heptane

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